Tue.Oct 29, 2024

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Alex de Vigan, Founder and CEO at Nfinite – Interview Series

Unite.AI

Nfinite, a company he established in 2016 after encountering challenges while decorating his first apartment. Nfinite transforms the online shopping experience by offering retailers and brands AI-powered, immersive, engaging, and personalized visual content at scale. What inspired you to transition from law and financial services to founding Nfinite, a company focused on e-merchandising and spatial intelligence?

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8 Popular Tools for RAG Applications

Analytics Vidhya

In today’s AI landscape, the ability to integrate external knowledge into models, beyond the data they were initially trained on, has become a game-changer. This advancement is driven by Retrieval Augmented Generation, in short RAG. RAG allows AI systems to dynamically access and utilize external information. Various tools have emerged to simplify both the integration […] The post 8 Popular Tools for RAG Applications appeared first on Analytics Vidhya.

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SonicSense Gives Robots Human-Like Sensing Abilities Through Acoustic Vibrations

Unite.AI

Duke University researchers have unveiled a groundbreaking advancement in robotic sensing technology that could fundamentally change how robots interact with their environment. The innovative system, called SonicSense , enables robots to interpret their surroundings through acoustic vibrations, marking a significant shift from traditional vision-based robotic perception.

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A New ERA of AI Factories: NVIDIA Unveils Enterprise Reference Architectures

NVIDIA

As the world transitions from general-purpose to accelerated computing, finding a path to building data center infrastructure at scale is becoming more important than ever. Enterprises must navigate uncharted waters when designing and deploying infrastructure to support these new AI workloads. Constant developments in model capabilities and software frameworks, along with the novelty of these workloads, mean best practices and standardized approaches are still in their infancy.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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AI’s Growing Role in Combating Deforestation

Unite.AI

Deforestation has been an ongoing problem for decades. Even as technology has advanced, offenders have held the advantage because there’s simply too much land to cover — until now. Could artificial intelligence be the key to putting an end to illegal deforestation? Both its potential and real-world use cases show promise. 1. Identify Optimal Reforestation Areas Although deforestation rates fluctuate, more trees are lost yearly.

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Generating Better AI Video From Just Two Images

Unite.AI

Video frame interpolation (VFI) is an open problem in generative video research. The challenge is to generate intermediate frames between two existing frames in a video sequence. [link] Click to play. The FILM framework, a collaboration between Google and the University of Washington, proposed an effective frame interpolation method that remains popular in hobbyist and professional spheres.

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Jailbreaking LLM-Controlled Robots

ML @ CMU

Summary. Recent research has shown that large language models (LLMs) such as ChatGPT are susceptible to jailbreaking attacks, wherein malicious users fool an LLM into generating toxic content (e.g., bomb-building instructions). However, these attacks are generally limited to producing text. In this blog post, we consider the possibility of attacks on LLM-controlled robots, which, if jailbroken, could be fooled into causing physical harm in the real world.

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CRM vs CMS: Key Differences and Synergies

Unite.AI

Managing customer relationships and delivering relevant content is important for businesses to succeed. To achieve these goals, Customer Relationship Management (CRM) and Content Management Systems (CMS) can help. While CRM and CMS serve different purposes, they often work hand-in-hand to enhance customer engagement. CRMs help businesses build strong customer relationships by tracking interactions and managing sales.

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ChunkRAG: An AI Framework to Enhance RAG Systems by Evaluating and Filtering Retrieved Information at the Chunk Level

Marktechpost

Retrieval-augmented generation (RAG) systems, a key area of research in artificial intelligence, aim to enhance large language models (LLMs) by incorporating external sources of information for generating responses. This approach is particularly valuable in fields requiring accurate, fact-based answers, such as question-answering or information retrieval tasks.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning Blog

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. The traditional way to make sure information and actions aren’t forgotten is to take notes during the session; a manual and tedious process that can be error-prone, particularly in a high-activity or hi

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Mini-InternVL: A Series of Multimodal Large Language Models (MLLMs) 1B to 4B, Achieving 90% of the Performance with Only 5% of the Parameters

Marktechpost

Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. These models excel in tasks like image recognition and natural language understanding by combining visual and textual data processing into one coherent framework.

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Automate document processing with Amazon Bedrock Prompt Flows (preview)

AWS Machine Learning Blog

Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Historically, processing and extracting insights from these unstructured data sources has been a manual, time-consuming, and error-prone task. However, the rise of intelligent document processing (IDP), which uses the power of artificial intelligence and machine learning (AI/ML) to automate the ex

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Top 10 Platforms to Practice Python

Marktechpost

Python is a high-level, flexible programming language that is well-known for its extensive ecosystem, ease of use, and readability. Python’s vast libraries and frameworks offer advanced capabilities for seasoned developers, and its simple syntax and readability make it a good language. Numerous domains, such as web development, data research, machine learning, automation, and scientific computing, heavily rely on Python.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning Blog

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics.

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Top 12 Platforms to Practice SQL

Marktechpost

SQL, the Structured Query Language, is a cornerstone skill for anyone working with data. To master this powerful language, consistent practice is crucial. We present a curated list of 12 top-notch platforms that offer a variety of SQL exercises and challenges to help you hone your SQL skills. Whether you’re a beginner or an experienced data professional, these platforms will help you level up your SQL expertise.

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Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch

AWS Machine Learning Blog

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business.

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Product Walk Through: Steno – GenAI Transcript Analysis

Artificial Lawyer

This week’s Product Walk Through is with Steno and its Transcript Genius capability, which leverages genAI to provide a range of court transcript analysis features.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Claude is Now Available on GitHub Copilot: A New Era for AI-Assisted Coding

Marktechpost

The rise of AI-assisted coding has undoubtedly revolutionized software development, but not without its challenges. One of the main pain points for developers has been the lack of choice and flexibility in selecting AI models that best suit their unique needs. GitHub Copilot, which emerged as a groundbreaking tool for code generation and assistance, has historically relied primarily on OpenAI’s models.

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The Rise of AI Scams

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Derrick Mwiti Originally published on Towards AI. Discover the biggest AI scams of 2024 This member-only story is on us. Upgrade to access all of Medium. Photo by Zanyar Ibrahim on Unsplash Some AI companies promised the future of AI, but instead delivered scams. And people lost millions.

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Researchers at Stanford Present ZIP-FIT : A Novel Data Selection AI Framework that Chooses Compression Over Embeddings to Finetune Models on Domain Specific Tasks

Marktechpost

Data Selection for domain-specific art is an intricate craft, especially if we want to get the desired results from Language Models. Until now, researchers have focused on creating diverse datasets across tasks, which has proved helpful for general-purpose training. However in domain and task-specific fine-tuning where data is relevant, current methods prove ineffective where they either ignore task-specific requirements entirely or rely on approximations that fail to capture the nuanced pattern

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From business users to system architects: How generative AI will change the way you work

SAS Software

Generative AI (GenAI) is here to stay – there’s no question about it. A recent SAS survey of 1,600 organizations found that 54% have begun implementing It, and 86% plan to invest in it within the next financial year. As organizations integrate AI into their workflows, a critical question arises: [.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Decoding Emotions: Sentiment Analysis with BERT

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Dive into the world of NLP and learn how to analyze emotions in text with a few lines of code! This member-only story is on us. Upgrade to access all of Medium. Imagine you’re at a bustling party, surrounded by a crowd with conversations buzzing all around.

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Leveraging Transfer Learning in Computer Vision for Quick Wins

Machine Learning Mastery

Computer vision (CV) is a field where machines learn to “see” and understand images or videos. It helps machines recognize objects, faces, and even actions in photos or videos. For example, CV is used in self-driving cars to detect road signs and people, or in medical scans to spot diseases.

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The State of AI Report 2024

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Derrick Mwiti Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by julien Tromeur on Unsplash The “State of AI Report 2024” just dropped. Here are the biggest highlights. Let’s start with the most exciting part: research. AI has seen incredible developments across multiple fields.

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[The AI Show Episode 121]: New Claude 3.5 Sonnet and Computer Use, Wild OpenAI "Orion" Rumors, Dark Side of AI Companions & Ex-OpenAI Researcher Sounds Alarm on AGI

Marketing AI Institute

Next-gen models emerge while safety concerns reach a boiling point. Join Mike Kaput and Paul Roetzer as they unpack last weeks wave of AI updates, including Anthropic's Claude 3.5 models and computer use capabilities, plus the brewing rumors about OpenAI's "Orion" and Google's Gemini 2.0. In our other main topics, we review the tragic Florida case raising alarms about AI companion apps, and ex-OpenAI researcher Miles Brundage's stark warnings about AGI preparedness.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Windows 11 and 10 Now Let You Access Your Android Phone's Files Without a Cable

Extreme Tech

Easily browse and manage your Android phone's photos, videos, and documents directly from your Windows PC's File Explorer.

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"Neither OpenAI Nor Any Other Frontier Lab Is Ready": Senior AI Safety Expert Sounds Alarm

Marketing AI Institute

A high-profile departure from OpenAI has sparked fresh concerns about the AI industry's preparedness for artificial general intelligence (AGI)—and the warning comes from someone who would know.

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Google's on an iOS Copying Spree, Adds Resizable Tiles in Quick Settings for Android

Extreme Tech

Android borrows a page from iOS, bringing customizable Quick Settings tiles to enhance user control and interface flexibility.

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